final word load flow analysis using neural networks%5b1%5d(1)
TRANSCRIPT
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Abstract
Power flow (PF) study, which is performed to determine the power
system static states (voltage magnitudes and voltage angles) at each bus
to find the steady state operating condition of a system, is very important
and is the most frequently carried out study by power utilities for power
system planning, operation and control. In this project, a ewton
raphson method is proposed to solve power flow problem under differentloading!contingency conditions for computing bus voltage magnitudes
and angles of the power system. "he composition of the input variables
for the proposed neural networ# has been selected to emulate the
solution process of a conventional power flow program. "he
effectiveness of the proposed $ based approach for solving power flow
is demonstrated by computation of bus voltage magnitudes and voltage
angles for different loading conditions and single line%outage
contingencies in I&&& ' %bus system.
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CONTENTS
Page o.
CHAPTER1: INTRODUCTION
'.' oad flow analysis *
CHAPTER-2: LOAD FLOW STUDIES
+.' Introduction to load flow studies
+.+ -lassification of buses
+./ Formulation of the oad Flow Problem
''
CHAPTER-3: NEWTON RAPHSON METHOD
/.'. 0eneral 1pproach '2
/.+. 1pplication of the ewton%$aphson 3ethod to the 4pecific Problem
'
/./. 4ample $esults for the ewton%$aphson 3ethod 21
/. oad Flow 1lgorithm ++
+
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/. .' Formation of the 5acobian 3atri6 ++
/+
CHAPTER-6 7 INTRODUCTION TO MATLAB
*.'7 Introduction *
*.+7 3%files 8
*./ $unning 31" 19 8
CHAPTER- : INTRODUCTION TO SIMULIN!
8.'7 Introduction
8.+7 :ey Features
8./7 -reating and ;or#ing with 3odels
CHAPTER-" 7SUMMAR# OF RESULTS AND S#STEM CALCULATIONS
20enetic algorithms7 concepts and applications?, I&&&
"ransactions on Industrial &lectronics, / (' *), 2, pp. 2' % 2//.
+ Q 3. 0en, and $. -heng, >0enetic algorithms and engineering design?, (5ohn ;iley N 4ons,
Inc., ' 8).
+2Q 5.]. ]u, -.4. -hang, and ].;. ;ang, >-onstrained multiobjective global optimiBation of
longitudinal interconnected power system by genetic algorithm?, I&& Proceedings, 0eneration,
"ransmission N Wistribution, ' / (' *), 2, pp /2% *.
+*Q ]in Gao, ?1 new simulated annealing algorithm?, International 5ournal of -omputer
3athematics, 2* (' 2), pp '*'%'* .
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